CN112073974B - Unauthorized spectrum edge access and anti-interference method and device for cooperative terminal communication - Google Patents

Unauthorized spectrum edge access and anti-interference method and device for cooperative terminal communication Download PDF

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CN112073974B
CN112073974B CN202010820633.2A CN202010820633A CN112073974B CN 112073974 B CN112073974 B CN 112073974B CN 202010820633 A CN202010820633 A CN 202010820633A CN 112073974 B CN112073974 B CN 112073974B
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channel
transmission power
iot
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CN112073974A (en
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宋令阳
张泓亮
高佳皓
邸博雅
边凯归
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Peking University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/14—Spectrum sharing arrangements between different networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
    • H04W28/0236—Traffic management, e.g. flow control or congestion control based on communication conditions radio quality, e.g. interference, losses or delay
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/541—Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

The invention provides an unauthorized spectrum edge access and anti-interference method, an unauthorized spectrum edge access and anti-interference device, electronic equipment and a readable storage medium for cooperative terminal communication. Receiving unauthorized channel detection results sent by a plurality of IoT devices through a base station, determining an unauthorized channel corresponding to the smallest interference strength as a target unauthorized channel, dividing the target unauthorized channel into a plurality of sub-channels, selecting K IoT devices and all cellular user terminals with the smallest interference as relay nodes, and optimizing the number of the IoT devices scheduled in the network through an iterative algorithm to obtain a device scheduling scheme. The method comprises the steps of determining the target unauthorized channel to be used for data transmission of IoT equipment by selecting the unauthorized channel corresponding to the minimum interference intensity, simultaneously using authorized spectrum and unauthorized spectrum to transmit data, expanding the coverage range of the network, optimizing the number of IoT equipment scheduled in the network by an iterative algorithm, and reasonably utilizing limited spectrum resources to increase the number of accessed IoT equipment.

Description

Unauthorized spectrum edge access and anti-interference method and device for cooperative terminal communication
Technical Field
The invention relates to the technical field of communication, in particular to an unauthorized spectrum edge access and anti-interference method and device for cooperative terminal communication.
Background
With the development of the fifth generation communication technology, more and more application scenarios need to support large-scale IoT devices, and these devices, as edge nodes of the network, face the problems of lack of authorized spectrum and insufficient bandwidth, and cannot meet the needs of large-scale data transmission.
In the related art, such as narrowband internet of things (NB-IoT), power consumption can be reduced while ensuring quality of service by using narrowband licensed spectrum, and this technology is only applied to licensed spectrum and cannot satisfy large-scale IoT device deployment in a hotspot area.
The existing unlicensed spectrum access technology only considers that an IoT device directly uploads data to a base station in one of machine-to-machine connection and communication or cellular communication, cannot adopt multiple communication modes for data transmission, has a low overall utilization rate of spectrum resources, has a small network coverage, and cannot support large-scale device access.
Disclosure of Invention
The embodiment of the invention provides an unauthorized spectrum edge access and anti-interference method and device for cooperative terminal communication, and aims to reasonably utilize spectrum resources, further improve the access quantity of IoT (Internet of things) equipment in an edge network and improve the data uploading rate of the IoT equipment.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication, which is applied to a base station, and in each scheduling period, the following steps are performed:
receiving unauthorized channel detection results sent by a plurality of IoT devices, wherein the unauthorized channel detection results comprise unauthorized channels detected by the plurality of IoT devices and interference strength corresponding to each unauthorized channel;
determining an unlicensed channel corresponding to the minimum interference strength as a target unlicensed channel according to the unlicensed channel detection result, wherein the target unlicensed channel is used for access and data transmission of an IoT device;
dividing the target unlicensed channel into a plurality of sub-channels;
receiving self-position information, data volume to be transmitted, maximum transmission power and a sub-channel detection result which are uploaded by each IoT device, and receiving self-position information, data volume to be transmitted and maximum transmission power which are uploaded by each cellular user terminal;
selecting K IoT devices and all cellular user terminals with the minimum interference as relay nodes;
optimizing the number of the IoT devices scheduled in the network by an iterative algorithm according to the self-position information, the data volume to be transmitted, the maximum transmission power and the subchannel detection result of each IoT device except the relay node, and the self-position information, the data volume to be transmitted and the maximum transmission power of each relay node to obtain a device scheduling scheme;
and sending connection scheduling and power allocation information to the corresponding IoT equipment and the corresponding cellular user terminal according to the equipment scheduling scheme so that the corresponding IoT equipment and the corresponding cellular user terminal perform data transmission according to the received connection scheduling and power allocation information.
Optionally, the method for scheduling the IoT devices in the network may further include optimizing, by using an iterative algorithm, the number of the IoT devices scheduled in the network according to the self-location information, the amount of data to be transmitted, the maximum transmission power, and the subchannel detection result of each IoT device except the relay node, the self-location information, the amount of data to be transmitted, and the maximum transmission power of each relay node, to obtain a device scheduling scheme, where the method includes:
step 1: initializing transmission power matrix P, routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme for all IoT devices and all cellular user terminals
Figure BDA0002634300990000021
Setting the iteration number I to be 0, wherein in a transmission power matrix P, the transmission power of each IoT device is a first transmission power, and the transmission power of each cellular user terminal is a second transmission power, wherein the routing transmission matrix X records all data transmission nodes corresponding to a plurality of IoT devices respectively, and the transmission destination matrix D records destination relay nodes corresponding to a plurality of IoT devices respectively;
step 2: including the system with a first order Taylor expansion according to the current transmission power and resource allocation schemeConverting nonlinear constraint into linear constraint, converting scheduling problem into linear integer programming problem, solving by adopting branch and limit strategy to obtain routing transmission matrix X of all IoT devices and all cellular user terminalsIAnd a transmission destination matrix DI；
And step 3: according to the solved route transmission matrix X of all IoT equipment and all cellular user terminalsIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power allocation of the system by taking the total transmission power of the minimized system as a target, converting the power transmission problem into a convex function, solving by using a Lagrange dual method to obtain a channel resource allocation scheme
Figure BDA0002634300990000032
And a transmission power matrix PIAs the initialization condition for the next iteration;
and 4, step 4: calculating the total utility of the system, wherein the total utility is the number of IoT devices scheduled in one scheduling period, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, finishing the algorithm, and obtaining a transmission power matrix P of the current iterationIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure BDA0002634300990000031
And determining a final device scheduling scheme, otherwise, returning to the step 2 when the iteration round number I is I + 1.
Optionally, each scheduling period is divided into T subframes, the device scheduling scheme further includes transmission mode allocation, N subframes of the T subframes are in an ON mode, T-N subframes are in an OFF mode, the ON mode indicates that the IoT device uses a target unlicensed channel and a licensed channel to send data to a corresponding relay node, the OFF mode indicates that the IoT device hands back the usage right of the unlicensed frequency band to the Wi-Fi system, and sends the data to the corresponding relay node through the licensed channel, where N is inversely related to the interference strength of the target unlicensed channel.
Optionally, after the step of determining the unlicensed channel corresponding to the minimum interference strength as the target unlicensed channel, the method further includes:
and continuously sensing the target unauthorized channel, immediately stopping occupying the target unauthorized channel when the interference intensity of the target unauthorized channel is greater than a second given threshold value, and re-determining a new target unauthorized channel when the next scheduling period starts.
In a second aspect, an embodiment of the present invention provides an unlicensed spectrum edge access and anti-interference apparatus for cooperative terminal communication, including:
a first receiving module, configured to receive unauthorized channel detection results sent by multiple IoT devices, where the unauthorized channel detection results include unauthorized channels detected by the multiple IoT devices and interference strength corresponding to each unauthorized channel;
a determining module, configured to determine, according to the unauthorized channel detection result, an unauthorized channel corresponding to a minimum interference strength among the unauthorized channels as a target unauthorized channel, where the target unauthorized channel is used for access and data transmission of an IoT device;
a splitting module, configured to split the target unlicensed channel into a plurality of sub-channels;
the second receiving module is used for receiving the self-position information, the data volume to be transmitted, the maximum transmission power and the sub-channel detection result which are uploaded by each IoT device, and receiving the self-position information, the data volume to be transmitted and the maximum transmission power which are uploaded by each cellular user terminal;
the selection module is used for selecting the K IoT devices with the minimum interference and all the cellular user terminals as relay nodes;
the obtaining module is used for optimizing the number of the IoT equipment scheduled in the network through an iterative algorithm according to the self-position information, the data volume to be transmitted, the maximum transmission power and the subchannel detection result of each IoT equipment except the relay node, the self-position information, the data volume to be transmitted and the maximum transmission power of each relay node, so as to obtain an equipment scheduling scheme;
and the sending module is used for sending the connection scheduling and power allocation information to the corresponding IoT equipment and the corresponding cellular user terminal according to the equipment scheduling scheme so as to enable the corresponding IoT equipment and the corresponding cellular user terminal to carry out data transmission according to the received connection scheduling and power allocation information.
Optionally, the obtaining module includes:
an initialization module for executing step 1: initializing transmission power matrix P, routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme for all IoT devices and all cellular user terminals
Figure BDA0002634300990000041
Setting the iteration number I to be 0, wherein in a transmission power matrix P, the transmission power of each IoT device is a first transmission power, and the transmission power of each cellular user terminal is a second transmission power, wherein the routing transmission matrix X records all data transmission nodes corresponding to a plurality of IoT devices respectively, and the transmission destination matrix D records destination relay nodes corresponding to a plurality of IoT devices respectively;
a first obtaining submodule, configured to perform step 2: converting nonlinear constraints contained in the system into linear constraints by using first-order Taylor expansion according to the current transmission power and resource allocation scheme, converting the scheduling problem into a linear integer programming problem, solving by adopting a branch and bound strategy to obtain routing transmission matrixes X of all IoT (internet of things) equipment and all cellular user terminalsIAnd a transmission destination matrix DI；
A second obtaining submodule, configured to perform step 3: according to the solved route transmission matrix X of all IoT equipment and all cellular user terminalsIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power allocation of the system by taking the total transmission power of the minimized system as a target, converting the power transmission problem into a convex function, solving by using a Lagrange dual method to obtain a channel resource allocation scheme
Figure BDA0002634300990000051
And a transmission power matrix PIAs the next oneInitializing conditions of iteration;
a determining or returning module for executing step 4: calculating the total utility of the system, wherein the total utility is the number of IoT devices scheduled in one scheduling period, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, finishing the algorithm, and obtaining a transmission power matrix P of the current iterationIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure BDA0002634300990000052
And determining a final device scheduling scheme, otherwise, returning to the step 2 when the iteration round number I is I + 1.
Optionally, each scheduling period is divided into T subframes, the device scheduling scheme further includes transmission mode allocation, N subframes of the T subframes are in an ON mode, T-N subframes are in an OFF mode, the ON mode indicates that the IoT device uses a target unlicensed channel and a licensed channel to send data to a corresponding relay node, the OFF mode indicates that the IoT device hands back the usage right of the unlicensed frequency band to the Wi-Fi system, and sends the data to the corresponding relay node through the licensed channel, where N is inversely related to the interference strength of the target unlicensed channel.
Optionally, after the determining, the apparatus further comprises:
and the sensing module is used for continuously sensing the target unauthorized channel, immediately stopping occupying the target unauthorized channel when the interference intensity of the target unauthorized channel is greater than a second given threshold value, and re-determining a new target unauthorized channel when the next scheduling period starts.
In a third aspect, an embodiment of the present invention additionally provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, where the computer program, when executed by the processor, implements the steps of the unlicensed spectrum edge access and interference rejection method for cooperative terminal communication according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the unlicensed spectrum edge access and interference rejection method for cooperative terminal communication according to the first aspect above are implemented.
In the invention, the base station receives the detection results of the unauthorized channels sent by a plurality of IoT devices, determines the unauthorized channel corresponding to the minimum interference strength as the target unauthorized channel, divides the target unauthorized channel into a plurality of sub-channels, receives the self-position information, the data volume to be transmitted, the maximum transmission power and the detection results of the sub-channels transmitted by each IoT device, receives the self-position information, the data volume to be transmitted and the maximum transmission power transmitted by each cellular user terminal, selects K IoT devices with the minimum interference and all cellular user terminals as relay nodes, optimizes the number of the IoT devices scheduled in the network through an iterative algorithm to obtain a device scheduling scheme, and sends connection scheduling and power distribution information to the corresponding IoT devices and cellular user terminals according to the device scheduling scheme.
The method comprises the steps of determining the target unauthorized channel to be used for data transmission of IoT equipment by selecting the unauthorized channel corresponding to the minimum interference strength, simultaneously using authorized spectrum and unauthorized spectrum to transmit data, expanding the coverage range of the network, and selecting K IoT equipment with the minimum interference and all cellular user terminals as relay nodes, so that data are transmitted to a base station in multiple communication modes, and optimizing the number of the IoT equipment scheduled in the network by an iterative algorithm, so that limited spectrum resources are reasonably utilized, and the number of the accessed IoT equipment is increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive labor.
Fig. 1 is a schematic view of an application scenario of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication according to an embodiment of the present invention;
fig. 3 is a schematic diagram of spectrum resource sharing of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication according to an embodiment of the present invention;
fig. 4 is a schematic transmission diagram illustrating steps of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an unlicensed spectrum edge access and anti-interference apparatus for cooperative terminal communication according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the development of the fifth generation communication technology, more and more application scenarios need to support large-scale IoT devices, and the authorized spectrum resources are limited and cannot meet the needs of large-scale device communication.
In the related art, such as narrowband internet of things (NB-IoT), power consumption can be reduced while ensuring quality of service by using narrowband licensed spectrum, and this technology is only applied to licensed spectrum and cannot meet large-scale IoT device deployment in a hotspot area.
The unlicensed spectrum access technology only considers that the IoT device directly uploads data to the base station in one of machine-to-machine connection and communication or cellular communication, cannot adopt multiple communication modes for data transmission, has a low overall utilization rate of spectrum resources, has a small network coverage range, and cannot support large-scale device access.
In order to increase the connection quantity of equipment in the Internet of things, the application provides an unauthorized spectrum edge access and anti-interference method for cooperative terminal communication, a communication frequency band of a network is expanded to an unauthorized spectrum, and an authorized spectrum and an unauthorized spectrum are simultaneously accessed in a carrier aggregation mode. In the uplink of the network, the IoT devices that need to upload data are clustered (Cluster), first, data are transmitted to idle IoT devices or Cellular Users (CU) in a multi-hop manner by machine-to-machine communication (M2M), and then the relay nodes transmit the aggregated data to the base station in a Cellular communication (Cellular) manner. Meanwhile, part of the IoT devices may also directly transmit data to the base station in a cellular communication manner. In order to reduce the influence of the access of the Internet of things equipment on a large number of existing Wi-Fi users in an unlicensed spectrum, an unlicensed spectrum sharing mechanism based on time division multiplexing is provided, the problems of resource allocation, connection scheduling, multi-hop routing and transmission power of the equipment in a network are optimized, an iterative algorithm is provided to optimize the scheduling result of each transmission period, and the number of the accessed IoT equipment is maximized while the transmission power consumption is reduced.
The IoT means that a large number of terminal devices (devices) are interconnected and intercommunicated through a wireless communication network on the basis of the Internet, and in the network, the devices can realize the functions of automatic identification and information sharing. The internet of things equipment can simultaneously utilize the authorized frequency band and the unauthorized frequency band to realize data exchange between the equipment by using M2M communication, and can also use Cellular communication (Cellular) to upload data to a base station.
M2M connection and communication between machines are networked applications and services with intelligent interaction of machine terminals as a core. The wireless communication module is embedded in the machine, the machine can actively carry out communication according to a set program, intelligently selects according to the obtained data, and sends a correct instruction to related equipment.
Before the technical scheme of the application is introduced, the application scenario to which the application is directed is introduced.
Referring to fig. 1, fig. 1 is a schematic view of an application scenario of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication according to an embodiment of the present invention, as shown in fig. 1, a cell covered by a single base station includes a base station and multiple Wi-Fi access points, and multiple Cellular Users (CUs), multiple Wi-Fi users, and multiple IoT devices (including an IoT device that directly uploads data to the base station and an IoT device group that needs to upload data to the base station in multiple hops) exist. The respective characteristics of the three types of users are as follows:
1) cellular users: performing data transmission with a base station by using a licensed frequency band (i.e., a licensed channel), wherein the data transmission can be used for a relay node of an IoT device in an uplink transmission process; the IoT device may also communicate with the IoT device in an unlicensed frequency band (unlicensed channel), divide the unlicensed spectrum into a plurality of sub-channels, and receive and transmit data of the plurality of IoT devices in one cycle.
2) Wi-Fi users: communications are conducted in accordance with the IEEE 802.11 protocol using unlicensed frequency bands.
3) An IoT device: data transmission can be carried out by simultaneously utilizing a licensed frequency spectrum (a licensed channel) and an unlicensed frequency spectrum (an unlicensed channel), and data uploading comprises two modes, namely, the data is directly transmitted to a base station by using a cellular communication mode; and secondly, dividing the IoT equipment into different equipment groups by using a cooperative communication mode by using partial equipment at far positions, wherein each equipment group comprises a relay node (IoT equipment or a cellular user terminal) which can directly communicate with the base station by using the authorized spectrum, the IoT equipment in one group firstly uses the unauthorized spectrum to upload data to the relay node in a multi-hop mode, and then the relay node sends the aggregated data to the base station.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of an unlicensed spectrum edge access and interference rejection method for cooperative terminal communication according to an embodiment of the present invention, and as shown in fig. 2, the method applied to a base station includes:
step S201: receiving unauthorized channel detection results sent by a plurality of IoT devices, wherein the unauthorized channel detection results comprise unauthorized channels detected by the plurality of IoT devices and interference strength corresponding to each unauthorized channel.
In this embodiment, a base station receives unauthorized channel detection results sent by a plurality of IoT devices, wherein the IoT devices in a cell covered by the base station detect an unauthorized channel and obtain an interference strength of the corresponding unauthorized channel by detection, where the interference strength may be the number of Wi-Fi user terminals accessed on the corresponding unauthorized channel, and each IoT device sends the detected unauthorized channel and the interference strength corresponding to each unauthorized channel to the base station.
Step S202: and determining the unauthorized channel corresponding to the minimum interference intensity as a target unauthorized channel according to the unauthorized channel detection result, wherein the target unauthorized channel is used for access and data transmission of an IoT device.
In this embodiment, the base station determines, according to the received detection result of the unlicensed channels, the unlicensed channel corresponding to the minimum interference strength as a target unlicensed channel for access and data transmission of the IoT device, where only one unlicensed channel with the minimum interference strength is selected for access and data transmission of the IoT device, so that the influence on the Wi-Fi user terminal corresponding to the unlicensed channel can be reduced as much as possible.
In a possible embodiment, after determining the target unlicensed channel, the method further includes:
and continuously sensing the target unauthorized channel, immediately stopping occupying the target unauthorized channel when the interference intensity of the target unauthorized channel is greater than a second given threshold value, and re-determining a new target unauthorized channel when the next scheduling period starts.
In the embodiment, after the target unauthorized channel is determined, the base station schedules the IoT device to occupy the target unauthorized channel, during which the base station continuously senses the target unauthorized channel, detects the interference strength of the target unauthorized channel, and presets a given threshold of the interference strength, if the interference strength of the target unauthorized channel is less than a second given threshold, the IoT device may continue to occupy the target unauthorized channel, if the interference strength of the target unauthorized channel is greater than the second given threshold, the base station immediately schedules the IoT device to stop occupying the target unauthorized channel, and returns the target unauthorized channel to the corresponding Wi-Fi user terminal for use, so as to reduce the interference to the Wi-Fi user terminal as much as possible, until the scheduling period is completed, when the next scheduling period starts, and re-determining the new target unauthorized channel with the minimum interference strength.
Step S203: the target unlicensed channel is divided into a plurality of sub-channels.
In this embodiment, one unlicensed sub-channel is generally large, so the target unlicensed channel is divided into multiple sub-channels, so that different IoT devices access different sub-channels, and thus multiple IoT devices can be simultaneously accessed for data transmission, thereby increasing the access amount of the IoT devices.
Step S204: and receiving the self-position information, the data volume to be transmitted, the maximum transmission power and the sub-channel detection result which are uploaded by each IoT device, and receiving the self-position information, the data volume to be transmitted and the maximum transmission power which are uploaded by each cellular user terminal.
In this embodiment, the base station receives the own position information, the amount of data to be transmitted, the maximum transmission power, and the sub-channel detection result that are uploaded by each IoT device, and receives the own position information, the amount of data to be transmitted, and the maximum transmission power that are uploaded by each cellular user terminal. The cellular user terminal directly uploads data to the base station by using cellular communication, the IoT equipment can use an authorized channel or an unauthorized channel for data transmission, the maximum transmission power is the maximum transmission power owned by the IoT equipment or the cellular user terminal, the data volume to be transmitted is the data volume which needs to be transmitted to the base station by the IoT equipment or the cellular user terminal in the period, the position information of the IoT equipment or the cellular user terminal is the position where the IoT equipment or the cellular user terminal is located last time, each IoT equipment can detect a plurality of sub-channels, and the detected sub-channels are used as sub-channel detection results and are sent to the base station.
Step S205: the K least interfered IoT devices and all cellular user terminals are selected as relay nodes.
In this embodiment, the cellular user terminal and the IoT device may cause interference when transmitting data to the base station using the grant channel, and the K IoT devices and all the cellular user terminals with the smallest interference are selected as the relay nodes, so as to better transmit data to the base station.
Step S206: and optimizing the number of the IoT devices scheduled in the network by an iterative algorithm according to the self-position information, the data volume to be transmitted, the maximum transmission power and the subchannel detection result of each IoT device except the relay node, and the self-position information, the data volume to be transmitted and the maximum transmission power of each relay node to obtain a device scheduling scheme.
In this embodiment, in order to maximize the number of access IoT devices while reducing transmission power consumption, a base station optimizes the number of IoT devices scheduled in a network through an iterative algorithm according to the self-location information, the to-be-transmitted data amount, the maximum transmission power, the subchannel detection result, the self-location information, the to-be-transmitted data amount, and the maximum transmission power of each IoT device except for a relay node, and obtains a device scheduling scheme.
In one possible implementation, the step S206 may include the following steps:
step S206-1: initializing transmission power matrix P, routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme for all IoT devices and all cellular user terminals
Figure BDA0002634300990000111
Setting the iteration number I to be 0, in a transmission power matrix P, the transmission power of each IoT device is a first transmission power, and the transmission power of each cellular user terminal is a second transmission power, where the routing transmission matrix X records all data transmission nodes corresponding to the plurality of IoT devices, respectively, and the transmission destination matrix D records destination relay nodes corresponding to the plurality of IoT devices, respectively.
In the present embodiment, the relay node is previously determined according to the itself of each IoT device other than the relay nodePosition information, data volume to be transmitted, maximum transmission power and subchannel detection results, self position information of each relay node, data volume to be transmitted and maximum transmission power, a transmission power matrix P, a routing transmission matrix X, a transmission destination matrix D and a channel resource allocation scheme of all IoT equipment and all cellular user terminals are initialized
Figure BDA0002634300990000112
The transmission power of each IoT device is the same and is a preset first transmission power, the first transmission power does not exceed the maximum transmission power of any IoT device in all IoT devices, the transmission power of each cellular user terminal is the same and is a preset second transmission power, and the second transmission power does not exceed the maximum transmission power of any cellular user terminal in all cellular user terminals. For routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme
Figure BDA0002634300990000121
The allocation is performed randomly, wherein the channel resource allocation scheme includes allocation of multiple grant channels and allocation of multiple sub-channels.
Step S206-2: converting nonlinear constraints contained in the system into linear constraints by using first-order Taylor expansion according to the current transmission power and resource allocation scheme, converting the scheduling problem into a linear integer programming problem, solving by adopting a branch and bound strategy to obtain routing transmission matrixes X of all IoT (internet of things) equipment and all cellular user terminalsIAnd a transmission destination matrix DI。
In this embodiment, according to the current transmission power and resource allocation scheme, a new routing transmission matrix X for all IoT devices and all cellular user terminals is obtained by solvingIAnd a transmission destination matrix DI。
Step S206-3: according to the solved route transmission matrix X of all IoT equipment and all cellular user terminalsIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power of the system with the goal of minimizing the overall transmission power of the systemAllocating, converting the power transmission problem into a convex function, solving by using a Lagrange dual method to obtain a channel resource allocation scheme
Figure BDA0002634300990000122
And a transmission power matrix PIAs an initialization condition for the next iteration.
In the present embodiment, the routing transmission matrix X of all IoT devices and all cellular user terminals is obtained according to the solutionIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power allocation of the system to obtain a new channel resource allocation scheme with the goal of minimizing the total transmission power of the system
Figure BDA0002634300990000123
And a transmission power matrix PIAs an initialization condition for the next iteration.
Step S206-4: calculating the total utility of the system, wherein the total utility is the number of IoT devices scheduled in one scheduling period, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, finishing the algorithm, and obtaining a transmission power matrix P of the current iterationIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure BDA0002634300990000124
And determining the final device scheduling scheme, and returning to the step S206-2 if the iteration round number I is I + 1.
In this embodiment, a new channel resource allocation scheme is obtained according to the iteration of this round
Figure BDA0002634300990000125
Transmission power matrix PIRouting transmission matrix XIAnd a transmission destination matrix DIThe total utility of the computing system is the number of IoT devices scheduled in one period, namely the IoT devices accessing the authorized channel or the unauthorized sub-channel and transmitting data in one scheduling periodQuantity, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, the optimization target is reached, the algorithm is ended, and the transmission power matrix P obtained by the current iteration is usedIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure BDA0002634300990000131
And determining the final equipment scheduling scheme, otherwise, returning to the step S206-2 when the iteration round number I is I +1, and continuing to perform optimization iteration until the difference between the total utility of the current iteration and the total utility of the previous iteration is smaller than a first given threshold.
In the process of obtaining the equipment scheduling scheme, nonlinear constraints contained in the system are converted into linear constraints by using first-order Taylor expansion, then the scheduling problem is converted into a linear integer programming problem, a branch and bound strategy is adopted to solve, and the routing transmission matrix X of all IoT equipment and all cellular user terminals is obtainedIAnd a transmission destination matrix DIThe method comprises the steps of optimizing channel resource allocation and transmission power allocation of a system by taking the total transmission power of the system as a target, so that a better data transmission mode and a better data transmission path can be obtained, the consumption of the transmission power is reduced, more IoT equipment is accessed, for example, the IoT equipment to be transmitted with larger data quantity directly transmits data to a base station by using an authorization channel, the IoT equipment at a far position adopts a cooperative communication mode, transmits the data to a relay node through the cooperation of one or more IoT equipment, and then transmits the data to the base station by the relay node. And after the equipment scheduling scheme is obtained, the equipment cluster is completed, and one equipment cluster is a set of all equipment which transmit data to the base station by using the same relay node.
Step S207: and sending connection scheduling and power allocation information to the corresponding IoT equipment and the corresponding cellular user terminal according to the equipment scheduling scheme so that the corresponding IoT equipment and the corresponding cellular user terminal perform data transmission according to the received connection scheduling and power allocation information.
In this embodiment, after obtaining the device scheduling scheme, according to the device scheduling scheme, the connection scheduling and power allocation information are sent to the corresponding IoT device and the cellular user terminal, so that the corresponding IoT device and the cellular user terminal perform data transmission according to the received connection scheduling and power allocation information, where the connection scheduling is a channel and a data transmission path accessed by each IoT device or the cellular user terminal, and the power allocation is power required for each IoT device or the cellular user terminal to transmit data.
Referring to fig. 3, fig. 3 is a schematic diagram of spectrum resource sharing of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication according to an embodiment of the present invention, as shown in fig. 3, in a possible implementation manner, the method further includes:
each scheduling period is divided into T subframes, the device scheduling scheme further comprises transmission mode allocation, N subframes in the T subframes are in an ON mode, T-N subframes are in an OFF mode, the ON mode indicates that the IoT device uses a target unauthorized channel and an authorized channel to send data to a corresponding relay node, the OFF mode indicates that the IoT device returns the use right of an unauthorized frequency band to the Wi-Fi system, and sends the data to the corresponding relay node through the authorized channel, wherein N is inversely related to the interference strength of the target unauthorized channel.
In this embodiment, when data is transmitted, each scheduling period is divided into T subframes, and in order to minimize the influence ON the Wi-Fi user terminal ON the target unlicensed channel, the device scheduling scheme further includes transmission mode allocation, where the transmission mode includes an ON mode and an OFF mode, N subframes of the T subframes are an ON mode, and T-N subframes are an OFF mode, and when the ON mode is performed, the IoT device may directly or indirectly transmit data to the corresponding relay node using the target unlicensed channel and the licensed channel, and when the OFF mode is performed, the IoT device returns the use right of the unlicensed band to the Wi-Fi system, that is, the target unlicensed channel is used for the Wi-Fi user terminal in the Wi-Fi system to access and transmit data, and when the IoT device transmits data to the corresponding relay node via the licensed channel, specifically, the IoT equipment directly or indirectly sends data to the corresponding relay node through the authorized channel, N is negatively related to the interference strength of the target unauthorized channel, the larger the interference strength of the target unauthorized channel is, the smaller N is, more subframes are reserved for the Wi-Fi user terminal to access and transmit the data, the influence on the Wi-Fi user terminal on the target unauthorized channel is reduced, the smaller the interference strength of the target unauthorized channel is, the larger N is, and fewer subframes can be reserved for the Wi-Fi user terminal to access and transmit the data.
Referring to fig. 4, fig. 4 is a schematic diagram of step transmission of an unlicensed spectrum edge access and anti-interference method for cooperative terminal communication in an embodiment of the present invention, as shown in fig. 4, in each scheduling period, channel selection is performed first, where specific steps of channel selection include channel selection, trunking scheduling, and data transmission, where, during channel selection, a base station receives an unlicensed channel detection result sent by an IoT device, selects an unlicensed channel with minimum interference from a Wi-Fi user terminal as a target unlicensed channel for access and transmission of the IoT device, and continuously senses an interference strength of the target unlicensed channel, if the interference strength of the target unlicensed channel does not exceed a second given threshold, trunking scheduling is performed, if the interference strength of the target unlicensed channel exceeds the second given threshold, at the beginning of a next period, channel selection is resumed.
When the IoT equipment is dispatched in a cluster, selecting partial idle IoT equipment and the cellular user terminal as possible relay nodes together, wherein the idle IoT equipment can be IoT equipment with small interference, optimizing the access amount of the IoT equipment in the network through an iterative optimization algorithm to obtain an equipment dispatching scheme, thereby obtaining the cluster result of the IoT equipment, and the base station sends connection dispatching and power distribution information to corresponding equipment according to the equipment dispatching scheme.
When the data is transmitted, the transmission mode comprises an ON mode and an OFF mode, when the ON mode is adopted, the IoT device can directly or indirectly transmit the data to the corresponding relay node by using a target unauthorized channel and an authorized channel, when the OFF mode is adopted, the IoT device hands back the use right of the unauthorized frequency band to the Wi-Fi system, namely, the target unauthorized channel is used for the Wi-Fi user terminal in the Wi-Fi system to access and transmit the data, and the IoT device transmits the data to the corresponding relay node through the authorized channel.
In the embodiment of the invention, the base station receives the detection results of the unauthorized channels sent by a plurality of IoT devices, determines the unauthorized channel corresponding to the minimum interference strength as the target unauthorized channel, divides the target unauthorized channel into a plurality of sub-channels, receives the self-position information, the data volume to be transmitted, the maximum transmission power and the detection results of the sub-channels transmitted by each IoT device, receives the self-position information, the data volume to be transmitted and the maximum transmission power transmitted by each cellular user terminal, selects K IoT devices with the minimum interference and all cellular user terminals as relay nodes, optimizes the number of the IoT devices scheduled in the network through an iterative algorithm to obtain a device scheduling scheme, and sends connection scheduling and power allocation information to the corresponding IoT devices and the cellular user terminals according to the device scheduling scheme. The method comprises the steps of determining the target unauthorized channel to be used for data transmission of IoT equipment by selecting the unauthorized channel corresponding to the minimum interference strength, simultaneously using authorized spectrum and unauthorized spectrum to transmit data, expanding the coverage range of the network, and selecting K IoT equipment with the minimum interference and all cellular user terminals as relay nodes, so that data are transmitted to a base station in multiple communication modes, and optimizing the number of the IoT equipment scheduled in the network by an iterative algorithm, so that limited spectrum resources are reasonably utilized, and the number of the accessed IoT equipment is increased.
Based on the same inventive concept, an embodiment of the present invention provides an unauthorized spectrum edge access and anti-interference apparatus for cooperative terminal communication, please refer to fig. 5, where fig. 5 is a schematic diagram of an unauthorized spectrum edge access and anti-interference apparatus for cooperative terminal communication in an embodiment of the present invention, and as shown in fig. 5, the apparatus includes:
a first receiving module 501, configured to receive unauthorized channel detection results sent by multiple IoT devices, where the unauthorized channel detection results include unauthorized channels detected by the multiple IoT devices and interference strength corresponding to each unauthorized channel;
a determining module 502, configured to determine, according to the unauthorized channel detection result, an unauthorized channel corresponding to a minimum interference strength among the unauthorized channels as a target unauthorized channel, where the target unauthorized channel is used for access and data transmission of an IoT device;
a splitting module 503, configured to split the target unlicensed channel into a plurality of sub-channels;
a second receiving module 504, configured to receive the self-location information, the amount of data to be transmitted, the maximum transmission power, and the sub-channel detection result uploaded by each IoT device, and receive the self-location information, the amount of data to be transmitted, and the maximum transmission power uploaded by each cellular user terminal;
a selecting module 505, configured to select the K IoT devices with the smallest interference and all the cellular user terminals as relay nodes;
an obtaining module 506, configured to optimize, according to the self-location information, the amount of data to be transmitted, the maximum transmission power, and the subchannel detection result of each IoT device except for the relay node, the self-location information, the amount of data to be transmitted, and the maximum transmission power of each relay node, the number of IoT devices scheduled in the network through an iterative algorithm, and obtain a device scheduling scheme;
the sending module 507 is configured to send connection scheduling and power allocation information to the corresponding IoT device and the cellular user terminal according to the device scheduling scheme, so that the corresponding IoT device and the cellular user terminal perform data transmission according to the received connection scheduling and power allocation information.
Optionally, the obtaining module includes:
an initialization module for executing step 1: initializing transmission power matrix P, routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme for all IoT devices and all cellular user terminals
Figure BDA0002634300990000161
Setting the iteration number I to be 0, wherein in a transmission power matrix P, the transmission power of each IoT device is a first transmission power, and the transmission power of each cellular user terminal is a second transmission power, wherein the routing transmission matrix X records all data transmission nodes respectively corresponding to a plurality of IoT devices,the transmission destination matrix D records destination relay nodes respectively corresponding to a plurality of IoT devices;
a first obtaining submodule, configured to perform step 2: converting nonlinear constraints contained in the system into linear constraints by using first-order Taylor expansion according to the current transmission power and resource allocation scheme, converting the scheduling problem into a linear integer programming problem, solving by adopting a branch and bound strategy to obtain routing transmission matrixes X of all IoT (internet of things) equipment and all cellular user terminalsIAnd a transmission destination matrix DI；
A second obtaining submodule, configured to perform step 3: according to the solved route transmission matrix X of all IoT equipment and all cellular user terminalsIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power allocation of the system by taking the total transmission power of the minimized system as a target, converting the power transmission problem into a convex function, solving by using a Lagrange dual method to obtain a channel resource allocation scheme
Figure BDA0002634300990000172
And a transmission power matrix PIAs the initialization condition for the next iteration;
a determining or returning module for executing step 4: calculating the total utility of the system, wherein the total utility is the number of IoT devices scheduled in one scheduling period, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, finishing the algorithm, and obtaining a transmission power matrix P of the current iterationIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure BDA0002634300990000171
And determining a final device scheduling scheme, otherwise, returning to the step 2 when the iteration round number I is I + 1.
Optionally, each scheduling period is divided into T subframes, the device scheduling scheme further includes transmission mode allocation, N subframes of the T subframes are in an ON mode, T-N subframes are in an OFF mode, the ON mode indicates that the IoT device uses a target unlicensed channel and a licensed channel to send data to a corresponding relay node, the OFF mode indicates that the IoT device hands back the usage right of the unlicensed frequency band to the Wi-Fi system, and sends the data to the corresponding relay node through the licensed channel, where N is inversely related to the interference strength of the target unlicensed channel.
Optionally, after the determining, the apparatus further comprises:
and the sensing module is used for continuously sensing the target unauthorized channel, immediately stopping occupying the target unauthorized channel when the interference intensity of the target unauthorized channel is greater than a second given threshold value, and re-determining a new target unauthorized channel when the next scheduling period starts.
Fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present invention, and as shown in fig. 6, the present application further provides an electronic device, including:
a processor 61;
a memory 62 having instructions stored thereon, and a computer program stored on the memory and executable on the processor, which when executed by the processor 61, causes the apparatus to perform a method of unlicensed spectrum sharing for multi-hop communication between terminals.
The present application further provides a non-transitory computer-readable storage medium having stored thereon a computer program, which, when executed by a processor 61 of an electronic device, enables the electronic device to execute an unlicensed spectrum sharing method that implements one kind of inter-terminal multi-hop communication.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The unauthorized spectrum edge access and anti-interference method, the unauthorized spectrum edge access and anti-interference device, the electronic equipment and the readable storage medium for cooperative terminal communication provided by the invention are introduced in detail, and specific examples are applied in the text to explain the principle and the implementation mode of the invention, and the description of the above embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. An unauthorized spectrum edge access and anti-interference method for cooperative terminal communication is characterized in that the method is applied to a base station, and in each scheduling period, the following steps are executed:
receiving unauthorized channel detection results sent by a plurality of IoT devices, wherein the unauthorized channel detection results comprise unauthorized channels detected by the plurality of IoT devices and interference strength corresponding to each unauthorized channel;
determining an unlicensed channel corresponding to the minimum interference strength as a target unlicensed channel according to the unlicensed channel detection result, wherein the target unlicensed channel is used for access and data transmission of an IoT device;
dividing the target unlicensed channel into a plurality of sub-channels;
receiving self-position information, data volume to be transmitted, maximum transmission power and a sub-channel detection result which are uploaded by each IoT device, and receiving self-position information, data volume to be transmitted and maximum transmission power which are uploaded by each cellular user terminal;
selecting K IoT devices and all cellular user terminals with the minimum interference as relay nodes;
optimizing the number of the IoT devices scheduled in the network by an iterative algorithm according to the self-position information, the data volume to be transmitted, the maximum transmission power and the subchannel detection result of each IoT device except the relay node, and the self-position information, the data volume to be transmitted and the maximum transmission power of each relay node to obtain a device scheduling scheme;
and sending connection scheduling and power allocation information to the corresponding IoT equipment and the corresponding cellular user terminal according to the equipment scheduling scheme so that the corresponding IoT equipment and the corresponding cellular user terminal perform data transmission according to the received connection scheduling and power allocation information.
2. The method of claim 1, wherein the device scheduling scheme is obtained by optimizing the number of IoT devices scheduled in the network through an iterative algorithm according to the self-location information, the data volume to be transmitted, the maximum transmission power, the subchannel detection result of each IoT device except the relay node, and the self-location information, the data volume to be transmitted, and the maximum transmission power of each relay node, and includes the following steps:
step 1: initializing transmission power matrix P, routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme for all IoT devices and all cellular user terminals
Figure FDA0002997442150000011
Setting the iteration round number I to be 0, wherein in a transmission power matrix P, the transmission power of each IoT device is a first transmission power, and the transmission power of each cellular user terminal is a second transmission power, wherein the routing transmission matrix X records all data transmission nodes corresponding to a plurality of IoT devices respectively, and the transmission destination matrix D records destination relay nodes corresponding to a plurality of IoT devices respectively;
step 2: converting nonlinear constraints contained in the system into linear constraints by using first-order Taylor expansion according to the current transmission power and resource allocation scheme, converting the scheduling problem into a linear integer programming problem, solving by adopting a branch and bound strategy to obtain routing transmission matrixes X of all IoT (internet of things) equipment and all cellular user terminalsIAnd a transmission destination matrix DI；
And step 3: according to the solved route transmission matrix X of all IoT equipment and all cellular user terminalsIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power allocation of the system by taking the total transmission power of the minimized system as a target, converting the power transmission problem into a convex function, solving by using a Lagrange dual method to obtain a channel resource allocation scheme
Figure FDA0002997442150000022
And a transmission power matrix PIAs the initialization condition for the next iteration;
and 4, step 4: calculating the total utility of the system, wherein the total utility is the number of IoT devices scheduled in one scheduling period, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, finishing the algorithm, and obtaining a transmission power matrix P of the current iterationIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure FDA0002997442150000021
DeterminingAnd (5) scheduling the scheme for the final equipment, otherwise, returning to the step 2 when the iteration round number I is I + 1.
3. The method of claim 1, wherein each scheduling period is divided into T subframes, the device scheduling scheme further includes transmission mode allocation, N subframes of the T subframes are in an ON mode, T-N subframes are in an OFF mode, the ON mode characterizes that the IoT device uses a target unlicensed channel and a licensed channel to transmit data to a corresponding relay node, and the OFF mode characterizes that the IoT device returns the usage right of an unlicensed frequency band to the Wi-Fi system and transmits the data to the corresponding relay node through the licensed channel, where N is inversely related to interference strength of the target unlicensed channel.
4. The method of claim 1, wherein after the step of determining the unlicensed channel corresponding to the minimum interference strength as the target unlicensed channel, the method further comprises:
and continuously sensing the target unauthorized channel, immediately stopping occupying the target unauthorized channel when the interference intensity of the target unauthorized channel is greater than a second given threshold value, and re-determining a new target unauthorized channel when the next scheduling period starts.
5. An unlicensed spectrum edge access and interference rejection apparatus for cooperative terminal communication, comprising:
a first receiving module, configured to receive unauthorized channel detection results sent by multiple IoT devices, where the unauthorized channel detection results include unauthorized channels detected by the multiple IoT devices and interference strength corresponding to each unauthorized channel;
a determining module, configured to determine, according to the unauthorized channel detection result, an unauthorized channel corresponding to a minimum interference strength among the unauthorized channels as a target unauthorized channel, where the target unauthorized channel is used for access and data transmission of an IoT device;
a splitting module, configured to split the target unlicensed channel into a plurality of sub-channels;
the second receiving module is used for receiving the self-position information, the data volume to be transmitted, the maximum transmission power and the sub-channel detection result which are uploaded by each IoT device, and receiving the self-position information, the data volume to be transmitted and the maximum transmission power which are uploaded by each cellular user terminal;
the selection module is used for selecting the K IoT devices with the minimum interference and all the cellular user terminals as relay nodes;
the obtaining module is used for optimizing the number of the IoT equipment scheduled in the network through an iterative algorithm according to the self-position information, the data volume to be transmitted, the maximum transmission power and the subchannel detection result of each IoT equipment except the relay node, the self-position information, the data volume to be transmitted and the maximum transmission power of each relay node, so as to obtain an equipment scheduling scheme;
and the sending module is used for sending the connection scheduling and power allocation information to the corresponding IoT equipment and the corresponding cellular user terminal according to the equipment scheduling scheme so as to enable the corresponding IoT equipment and the corresponding cellular user terminal to carry out data transmission according to the received connection scheduling and power allocation information.
6. The apparatus of claim 5, wherein the obtaining module comprises:
an initialization module for executing step 1: initializing transmission power matrix P, routing transmission matrix X, transmission destination matrix D and channel resource allocation scheme for all IoT devices and all cellular user terminals
Figure FDA0002997442150000031
Setting the iteration round number I to be 0, wherein in a transmission power matrix P, the transmission power of each IoT device is a first transmission power, and the transmission power of each cellular user terminal is a second transmission power, wherein the routing transmission matrix X records all data transmission nodes corresponding to a plurality of IoT devices respectively, and the transmission destination matrix D records destination relay nodes corresponding to a plurality of IoT devices respectively;
a first obtaining submodule for performingStep 2: converting nonlinear constraints contained in the system into linear constraints by using first-order Taylor expansion according to the current transmission power and resource allocation scheme, converting the scheduling problem into a linear integer programming problem, solving by adopting a branch and bound strategy to obtain routing transmission matrixes X of all IoT (internet of things) equipment and all cellular user terminalsIAnd a transmission destination matrix DI；
A second obtaining submodule, configured to perform step 3: according to the solved route transmission matrix X of all IoT equipment and all cellular user terminalsIAnd a transmission destination matrix DIOptimizing the channel resource allocation and transmission power allocation of the system by taking the total transmission power of the minimized system as a target, converting the power transmission problem into a convex function, solving by using a Lagrange dual method to obtain a channel resource allocation scheme
Figure FDA0002997442150000041
And a transmission power matrix PIAs the initialization condition for the next iteration;
a determining or returning module for executing step 4: calculating the total utility of the system, wherein the total utility is the number of IoT devices scheduled in one scheduling period, when the difference between the total utility of the current iteration and the total utility of the previous iteration is less than a first given threshold value, finishing the algorithm, and obtaining a transmission power matrix P of the current iterationIRouting transmission matrix XIA transmission destination matrix DIAnd channel resource allocation scheme
Figure FDA0002997442150000042
And determining a final device scheduling scheme, otherwise, returning to the step 2 when the iteration round number I is I + 1.
7. The apparatus of claim 5, wherein each scheduling period is divided into T subframes, the device scheduling scheme further includes transmission pattern allocation, N subframes of the T subframes are an ON pattern, T-N subframes are an OFF pattern, the ON pattern characterizes that the IoT device uses a target unlicensed channel and a licensed channel to send data to a corresponding relay node, and the OFF pattern characterizes that the IoT device returns the usage right of an unlicensed band to the Wi-Fi system and sends data to the corresponding relay node through the licensed channel, where N is inversely related to the interference strength of the target unlicensed channel.
8. The apparatus of claim 5, wherein after determining the module, the apparatus further comprises:
and the sensing module is used for continuously sensing the target unauthorized channel, immediately stopping occupying the target unauthorized channel when the interference intensity of the target unauthorized channel is greater than a second given threshold value, and re-determining a new target unauthorized channel when the next scheduling period starts.
9. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the unlicensed spectrum edge access and immunity method for cooperative terminal communication according to any of claims 1 to 4.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the unlicensed spectrum edge access and interference rejection method for cooperative terminal communication according to any of claims 1 to 4.
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